Neural networks exhibit a remarkable ability to adapt and endure under dynamic and noisy conditions—much like bamboo bending gracefully in strong winds without breaking. This resilience stems from their layered architecture, where distributed parameter updates absorb input variability, preventing catastrophic failure. Just as bamboo distributes mechanical stress across flexible joints, neural networks use internal weight […]
